Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add commands/promptingbox/mcp/searchgit clone --depth 1 https://github.com/promptingbox/mcpWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00008 | $0.00140 |
| Opus 5 | $0.00004 | $0.00070 |
| Sonnet 5 | $0.00002 | $0.00028 |
| Haiku 4.5 | $0.00001 | $0.00014 |
Grade A, and why
search scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Search for prompts in the user's PromptingBox account.
Instructions
- Use the argument provided after the command as the search query.
- Example:
/pbox:search code review→ search for "code review"
- Example:
- Call
search_promptswith the query. - Display matching results. For each result, show the title, folder, and ID.
- If the user wants to see the full content of a result, call
get_promptwith the ID.
If no argument was provided, ask the user what they'd like to search for.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 18 lines · 8 tokens per session scan A b027f0091b13
search is a command published in the GitHub repository promptingbox/mcp (0 stars, last pushed 5mo ago), licensed MIT. It adds 8 tokens to every session and 140 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other commands, from other repositories
/spdd-reasons-canvas
Generate REASONS-Canvas structured prompts from business context without external template.
prompt-show
Display full details of a saved prompt by ID.
audit-prompt
Evaluate an existing prompt for clarity, effectiveness, and edge cases.
design-prompt
Create a structured system prompt for an AI feature.
update-prompt
Update a prompt, system instruction, or agent definition by applying a research-backed prompt engineering technique.
prompt-create
Create a new prompt following ground rules.